Objectives: The relative biological effectiveness (RBE) of X-rays and γ radiation increases substantially with decreasing beam energy. This trend affects the efficacy of medical applications of this type of radiation. This study was designed to develop a model based on a survey of experimental data that can reliably predict this trend. Methods: In our model, parameters α and β of a cell survival curve are simple functions of the frequency-average linear energy transfer (LF) of delta electrons. The choice of these functions was guided by a microdosimetry-based model. We calculated LF by using an innovative algorithm in which LF is associated with only those electrons that reach a sensitive-to- radiation volume (SV) within the cell. We determined model parameters by fitting the model to 139 measured (α,β) pairs. Results: We tested nine versions of the model. The best agreement was achieved with __ and β being linear functions of LF .The estimated SV diameter was 0.1-1 μm. We also found that α, β, and the α/β ratio increased with increasing LF . Conclusions: By combining an innovative method for calculating LF with a microdosimetric model, we developed a model that is consistent with extensive experimental data involving photon energies from 0.27 keV to 1.25 MeV.
CITATION STYLE
Vassiliev, O. N., Peterson, C. B., Grosshans, D. R., & Mohan, R. (2020). A simple model for calculating relative biological effectiveness of X-rays and gamma radiation in cell survival. British Journal of Radiology, 93(1112). https://doi.org/10.1259/bjr.20190949
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